Instructions to use krzysztofwos/LFM25-1.2B-CodeAgent-opus4-terse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use krzysztofwos/LFM25-1.2B-CodeAgent-opus4-terse with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Instruct") model = PeftModel.from_pretrained(base_model, "krzysztofwos/LFM25-1.2B-CodeAgent-opus4-terse") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from krzysztofwos/LFM25-1.2B-CodeAgent-opus4-terse: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/krzysztofwos/LFM25-1.2B-CodeAgent-opus4-terse/resolve/main/training_args.bin
- Command line
-
hf download hf://krzysztofwos/LFM25-1.2B-CodeAgent-opus4-terse/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/krzysztofwos/LFM25-1.2B-CodeAgent-opus4-terse/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- ebbf777b07f3ec0d332a74413b9f137933959a7cec79d8567b2a8899dbf5f24b
- Size of remote file:
- 6.23 kB
- SHA256:
- 496be77367930f6c59050ec85b60f0d50c43c48e0667c4381823e82ccdb7963c
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